Predicting the risk of early intensive care unit admission for patients hospitalized with acute pancreatitis using supervised machine learning.
Acute pancreatitis (AP) is a complex and life-threatening disease. Early recognition of factors predicting morbidity and mortality is crucial. We aimed to develop and validate a pragmatic model to predict the individualized risk of early intensive care unit (ICU) admission for patients with AP. The...
| Publicado en: | Baylor University Medical Center Proceedings Vol. 37; no. 3; pp. 437 - 448 |
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| Autores principales: | , , , , , , , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
May2024
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| Acceso en línea: | Ver este registro en EBSCOhost |